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get_recordings

Read-only

Fetch call recordings from VoIPstudio with transcripts, summaries and CX scores. Supports filtering/sorting by any field: {"call_id":"number","dst_name":"string","transcript":"string","id":"number","live_id":"number","user_id":"number","sip_endpoint_id":"number","type":"string","src_id":"string","src":"string","src_name":"string","dst_id":"string","dst":"string","context":"string","timestamp":"datetime","caller":"string","called":"string","duration":"number","size":"number","summary":"string","sentiment":"string","metadata":"object","cx_score":"number","transcript_speakers":"array"}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (default 1)
sortNoSorts results by given property and direction
limitNoNumber of recordings to fetch
filtersNoOptional filters. Examples: - Date range: [{property:"some_date_propery",operator:"gte",value:"2026-01-01 00:00:00"},{property:"some_date_propery",operator:"lte",value:"2026-12-31 23:59:59"}] - By string: [{property:"some_string_property",operator:"eq",value:"EXPECTED VALUE"}] - Greather than: [{property:"some_number_property",operator:"gt",value:10}] As a 'property' you can use any property from output schema.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYes
totalYes

TDQS

A3.9/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already declare readOnlyHint=true, and the description confirms a read operation ('Fetch'). The description does not disclose additional behavioral traits like pagination limits, rate limits, or error handling. It adds the filtering capability but lacks depth beyond annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single sentence followed by a structured list of filterable fields. While the list is somewhat lengthy, it is organized and provides immediate context for filtering. Could be more concise but is front-loaded with the core action.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the output schema exists (as indicated by 'output schema' in context signals and the mention of fields like 'transcript'), the description covers what data is returned and filtering capabilities. It does not detail output format or pagination, but those are in the schema. Annotations provide the safety profile. Adequate for a read tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% with descriptions for all parameters. The description adds value by listing filterable fields and providing example filter structures, which helps the agent construct filters correctly. The baseline is 3, but the extra examples and field list justify a 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb 'Fetch' and clearly identifies the resource 'call recordings from VoIPstudio' with specific data fields (transcripts, summaries, CX scores). It distinguishes itself from sibling tools like get_recording_audio (audio only) and get_cdrs (CDR data).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for fetching recordings with filtering/sorting but provides no explicit guidance on when to use this tool versus alternatives like get_recording_audio or get_voicemails. No exclusions or alternative suggestions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

A4/5.0
Disambiguation5/5

Each tool targets a distinct aspect of VoIP data: CDRs, call history per number, live calls, recording audio, recordings with transcripts, and voicemails. There is no overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent 'get_<resource>' pattern in snake_case, making them predictable and easy to remember.

Tool Count5/5

With 6 tools covering essential read-only operations for a VoIP system (CDRs, live calls, recordings, voicemails, history), the count is well-scoped and each tool serves a clear purpose.

Completeness4/5

The server covers the main data types for a read-only VoIP API, but lacks a dedicated tool to retrieve a single CDR by ID (though filtering can approximate that). Minor gap but overall sufficient.

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